Senior Ds

Self-motivated Engineer with a solid grasp of AI/ML fundamentals and a relentless drive for innovation. This role requires an agile builder who can bridge the gap between model research and production-grade software with a product-focused mindset.**Key Responsibilities** * Implement high-performance systems leveraging LLMs, Generative AI, and traditional ML to solve enterprise-scale problems. * Build and maintain RAG (Retrieval-Augmented Generation) workflows and data pipelines using Python and vector databases. * Refine model outputs through prompt engineering, fine-tuning, and latency optimization. * Write modular, scalable code and integrate AI services into cloud ecosystems (AWS, Azure, or GCP). * Rapidly integrate emerging frameworks like LangChain, LlamaIndex, and Hugging Face into production workflows. * Implement automated testing, model monitoring, and "golden datasets" to ensure reliability and safety. **Experience Required** * 8+ years of hands-on experience in GenAI, Agentic AI, MCP & LLM’s * Experience in deploying models in production environments. **Why Join Us?** * Work in an innovative environment with the business that is shaping the future of data migration. * Be part of a **dynamic, high-growth environment** at **NucleusTeq**. * Competitive salary and **comprehensive benefits package**.